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269 articles for “real-time energy”
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Design and Research of Thermoelectric Energy Harvesting Methods for Instantaneous Use
Abstract: In today’s consumer-oriented market, researchers are attempting to harness energy from ambient sources for sustainable energy generation leading to reduction of dependency on conventional energy sources. Energy harvesting methods offers enormous opportunities to derive energy from our natural surroundings to directly operate self-powered devices or storing it for later use. Generating energy from our nearby environment seems to be a promising solution to address the growing concerns of powering small …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
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Enhancing Energy Storage and Optimization of Distributed Energy Resources Using a Hybrid SWOA-MSNN Approach
Abstract: The fast growth of Distributed Energy Resources (DERs) like solar photovoltaics, wind power, and energy storage devices requires enhanced optimization methods to manage energy efficiently and stabilize operations in contemporary smart grids. A significant challenge is the dynamic optimization of the energy storage systems (ESS) and the distribution of the energy among DERs in conditions of uncertainty of loads and generation. The conventional control and optimization methods generally find it …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article
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Solar Panel Maintenance and Prevention System
Abstract: Solar energy has emerged as a sustainable and efficient alternative to conventional energy sources. However, maintaining solar panels is crucial to ensure optimal performance and longevity. Accumulation of dust, dirt, and environmental debris can significantly reduce energy efficiency, leading to increased operational costs and potential system failures. To overcome this issue, we suggest an IoT- based Solar Panel Maintenance and Prevention System that facilitates automated cleaning and preventive maintenance via …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 2, 2025 · pp. 29–34 Read article
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Human-Centered AI in Museums: Enhancing Accessibility and Visitor Engagement
Abstract: Artificial intelligence (AI) is being used extensively in museums, which are cultural and learning spaces, to improve accessibility, optimize environmental conditions, and improve visitor experiences. Traditional museum designs are evolving to accommodate the demands of contemporary visitors, as they frequently fall short in properly engaging various audiences. AI-powered tools like augmented reality, machine learning, and smart sensors allow museums to design customized, adaptable spaces. Based on real-time visitor data, these …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 27–33 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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Solar Spin: BLDC Motor Integration for Sun powered Cycling
Abstract: This project focuses on the integration of a Brushless DC (BLDC) motor into an E-Solar Cycle to enhance its power generation efficiency. The aim is to design and implement a sustainable transportation solution that harnesses solar energy to supplement the electric power generated by the BLDC motor, thereby extending the cycle's range and reducing its dependence on external charging sources. A BLDC motor is used as the propulsion in the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 30–36 Read article
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Design And Implementation of A Smart Dustbin System Integrated With Solar Panel For Sustainable Waste Management
Abstract: India is a rapidly developing country in the world. As a growing economy it is important to manage its waste. In India on an average 64 million tons of detritus is produced which ranks 5th in the global scenario. Nowadays in many localities garbage is thrown around arbitrarily and roads are full of litter. These unplanned things cause many problems and sometimes it may cause hazardous diseases. With the potential …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 1–5 Read article
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Energy Conservation Using Street Light Monitoring and Vehicle Vibrations for EV Charging
Abstract: In the contemporary era, the escalating demand for sustainable energy solutions has prompted the exploration of innovative technologies to address energy conservation challenges. This research introduces a novel approach to energy conservation by integrating street light monitoring and utilizing vehicle vibrations for Electric Vehicle (EV) charging. The proposed system leverages smart sensors and advanced communication technologies to monitor street lights and harness vehicle vibrations, thereby contributing to the optimization of …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article
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Enhancing Energy Efficiency in HVAC Systems: A Comprehensive Study of EC+ Fans, VFDs, and AI Integration
Abstract: This research paper explores the integration of EC+ fans with Variable Frequency Drives (VFDs) and Permanent Magnet (PM) motors to enhance energy efficiency and operational performance in heating, ventilation, and air conditioning (HVAC) systems. An extensive energy audit was conducted at the BidP plant in Bangalore, focusing on air handling units (AHUs) in Hangar 101. The audit revealed substantial variations in fan efficiency, secondary fan performance, power consumption, and airflow …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 44–54 Read article
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Cloud-based Application Development and Optimization
Abstract: As cloud computing powers today’s applications, optimizing cloud-based development is crucial to achieve performance, cost effectiveness, and scalability. This research focuses on enhancing the design, deployment, and maintenance of cloud applications, tackling challenges in resource management, scalability, and resilience. We specifically explore dynamic resource allocation algorithms that use predictive analytics for auto-scaling based on workload variations, aiming to cut costs while preserving high performance. The study also investigates cross-cloud optimization …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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Comprehensive Analysis of Advanced Methods, Materials and Technologies for Portable Water Purifier in Domestic and Industrial Applications
Abstract: Safe drinking water is still a major problem in developing countries, especially in areas with water scarcity, pollution or poor infrastructure. Portable water purifiers have come to the fore as solutions that are realistic to narrow this gap providing flexibility and accessibility in household and industrial environments as well. In this study, promising techniques, materials and technologies used in portable water treatment equipment design have been reviewed. We review important …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 8–19 Read article
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Optimization of Robotic Path Planning Algorithms for Autonomous Material Handling Systems
Abstract: For autonomous systems for handling materials (AMHS) to operate as efficiently as possible in industrial and logistical settings, robotic route planning is essential. This study examines many robotic route planning algorithms, emphasizing their use, ways of optimization, and difficulties in material handling systems. To improve the effectiveness, precision, and computational viability of these algorithms, the study also examines a number of optimization strategies, including machine learning, parallelization, heuristic search, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 15–20 Read article
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Hybrid Machining Processes in Advanced Manufacturing: A Review of Mechanisms and Industrial Applications
Abstract: Hybrid machining processes (HMPs) have gained considerable attention in recent years as an effective approach to address the growing complexity and performance demands of modern manufacturing systems. These processes combine two or more machining techniques—such as mechanical, thermal, chemical, or electrical methods—into a single setup, enabling enhanced productivity, precision, and adaptability, particularly for hard-to-machine materials like ceramics, composites, and superalloys. The integration of distinct energy sources results in synergistic effects …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 19–24 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Energy harnessing solution using a vertical axis wind turbine installed on the automotive rooftop.
Abstract: The transportation sector plays a major role in greenhouse gas emissions, prompting worldwide initiatives to mitigate its environmental effects. While the shift from internal combustion engines to electric vehicles is growing, it often merely shifts emissions rather than eliminating them, as fossil fuels continue to dominate energy production. A comprehensive solution requires universal access to renewable energy sources like wind, solar, and hydro power, which is currently impractical due to …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 1–21 Read article
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Sustainable Electromagnetic Culinary Interface with Dual-Phase Filtration for Energy Efficiency and Environmental Impact Reduction
Abstract: Induct Net is an innovative kitchen appliance that seamlessly integrates advanced cooking technology with an inbuilt chimney system, marking a significant step towards sustainable culinary environments. This space-efficient device prioritizes energy efficiency, user safety, and environmental responsibility through its incorporation of internet of things (IoT) technology. Induct Net features a dual-filtration system with removable grease and charcoal filters, ensuring optimal performance while reducing waste. The IoT connectivity facilitates real-time monitoring, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 1, 2025 · pp. 45–50 Read article
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Design and Implementation of an IoT-Based Power Theft Detection System Using Sensor Networks
Abstract: With the increasing demand for efficient energy distribution and consumption monitoring in smart grid systems, the need for robust power theft detection mechanisms becomes paramount. This project proposes an IoT-based solution utilizing energy metering to detect instances of power theft within different segments of the distribution network. The system employs three types of energy meters: Distribution Point (DP), Pole, and Domestic meters. Every meter is positioned thoughtfully to track the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article